In the modern business landscape, AI and data strategies can no longer operate in isolation. To drive meaningful outcomes, organizations must align these critical components within a unified framework tied to overarching business objectives. This presentation explores the necessity of integrating AI and data strategies, emphasizing the importance of high-quality data, scalable architectures and robust governance. Attendees will learn three essential steps that need to be taken: Recognize that AI requires the right data to succeed Prioritize data quality and architecture Establish strong governance practices Additionally, the talk will highlight the cultural shift required to bridge IT and business silos, fostering roles that combine technical and business expertise. We’ll dive into specific practical steps that can be taken to ensure an organization has a cohesive and blended AI and data strategy, using specific case examples.